Senior AI/ML Engineer - Remote
San DiegoLast seen today
Summary
Build and ship production ML systems end-to-end for autonomous medical coding in a SaaS platform, from problem framing through deployment and monitoring. Own the full lifecycle—data discovery, feature engineering, training, evaluation, and iteration—working with LLMs, deep learning, and modern MLOps tooling to handle millions of medical charts daily. Design robust, low-latency architectures, establish rigorous evaluation strategies, and implement model observability, drift detection, and bias assessments. Collaborate across product, data, and platform teams to translate business goals into measurable ML outcomes.
Data ScienceDevOps / InfrastructureAIAzureKubernetesPythonA B TestingBias DetectionCcpaCI CDC#Deep Learning.NETDrift DetectionFairness AssessmentFeature EngineeringFine TuningGdprGradient BoostingLlmsMachine LearningMlopsModel GovernanceModel MonitoringModel RegistryObservabilityPrompt EngineeringRankingRecommendationsReinforcement LearningRetrieval Augmented GenerationServerless InferenceStatistical EvaluationSupervised LearningTime Series